Senior Backend Engineer, Data Infrastructure

As part of the Data Infrastructure team, youll help build data platform for our growing stack of products, customers, and microservices.

Our platform ingests and processes data from operational databases, telematics, and diverse product sources. Youll build robust backend services and data processing pipelines, leveraging state-of-the-art frameworks and cloud-native solutions, all while collaborating with Data Engineers, ML Engineers, Analysts, and Product Managers to turn real-world needs into resilient systems.

In this role youll:
Design & Develop Backend Services: Lead the design and implementation of backend systems and APIs for our distributed data platform

Build Data Ingestion & Processing: Architect and develop scalable ingestion pipelines with streaming ETL, Change Data Capture, and large-scale batch and stream processing

Own Data Platform Infrastructure: Implement and optimize scheduling, workflow orchestration, and data governance tools to support high-quality, complian

דרישות:

5+ years of experience as a Backend, Data, or Infrastructure Engineer building large-scale backend systems and data-driven platforms.

B.S. in Computer Science or a similar field

Proven backend development skills with expertise in Python. Additional languages, a plus.

Proven experience with distributed systems, microservices, building and maintaining robust backend APIs

Proficiency with databases (SQL, NoSQL), data modeling, and streaming data architectures.

Ability to work in an office environment a minimum of 3 days a week

Enthusiastic about learning and adapting to the rapidly evolving world of AI and data-driven engineering

Past experience with modern data stacks  (e.g., Snowflake, Kafka, Airflow, DBT, Spark), an advantage

Strong understanding of cloud infrastructure and orchestration (preferably AWS, K8s, Terraform/Pulumi), an advantage המשרה מיועדת לנשים ולגברים כאחד.